Learning-based VIO cannot defeat the state-of-the-art classical model based VIOs, but they are generally more robust to real issues[1]}, [2]}, [3]} such as measurement noises, bad time synchronization, thanks to the impressive ability of DNNs in feature extraction and motion modelling.
